Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

SARS-CoV-2 Infection Causes Dopaminergic Neuron Senescence

ABSTRACT: Here, we show that midbrain dopamine (DA) neurons derived from human pluripotent stem cells (hPSCs) are selectively permissive to SARS-CoV-2 infection both in vitro and upon transplantation in vivo, and that SARS-CoV-2 infection triggers a DA neuron inflammatory and cellular senescence response. A high-throughput screen in hPSC-derived DA neurons identified several FDA approved drugs, including riluzole, metformin, and imatinib, that can rescue the cellular senescence phenotype and prevent SARS-CoV-2 infection. RNA-seq analysis of human ventral midbrain tissue from COVID-19 patients, using formalin-fixed paraffin-embedded autopsy samples, confirmed the induction of an inflammatory and cellular senescence signature and identified low levels of SARS-CoV-2 transcripts. Our findings demonstrate that hPSC-derived DA neurons can serve as a disease model to study neuronal susceptibility to SARS-CoV-2 and to identify candidate neuroprotective drugs for COVID-19 patients. The susceptibility of hPSC-derived DA neurons to SARS-CoV-2 and the observed inflammatory and senescence transcriptional responses suggest the need for careful, long-term monitoring of neurological problems in COVID-19 patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE174745 | GEO | 2021/10/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

SARS-CoV-2 Infection Causes Dopaminergic Neuron Senescence [scRNA-Seq]

Project description:COVID-19 patients commonly present with neurological signs of central nervous system (CNS) and/or peripheral nervous system dysfunction. However, which neural cells are permissive to infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been controversial. Here, we show that midbrain dopamine (DA) neurons derived from human pluripotent stem cells (hPSCs) are selectively susceptible and permissive to SARS-CoV-2 infection, and that SARS-CoV-2 infection triggers a DA neuron inflammatory and cellular senescence response. A high-throughput screen in hPSC-derived DA neurons identified several FDA approved drugs, including riluzole, metformin, and imatinib, that can rescue the cellular senescence phenotype by preventing SARS-CoV-2 infection. RNA-seq analysis of human ventral midbrain tissue from COVID-19 patients, using formalin-fixed paraffin-embedded autopsy samples, confirmed the induction of an inflammatory and cellular senescence signature and identified low levels of SARS-CoV-2 transcripts. Our findings demonstrate that hPSC-derived DA neurons can serve as a disease model to study neuronal susceptibility to SARS-CoV-2 and to identify candidate neuroprotective drugs for COVID-19 patients. The susceptibility of hPSC-derived DA neurons to SARS-CoV-2 and the observed inflammatory and senescence transcriptional responses suggest the need for careful, long-term monitoring of neurological problems in COVID-19 patients.

2023-12-04 | GSE248989 | GEO

Identification of Drug Candidates Rescuing SARS-CoV-2 Infection Induced Dopaminergic Neuron Senescence

Project description:RNA-seq analysis was applied to examine the mock or SARS-CoV-2 infected DA neurons.We found SARS-CoV-2 infection caused DA neurons senescence.We also found several drug candidates block SARS-CoV-2 infection caused senescence of hPSC-derived DA neurons. RNA-seq was applied to analyze the drug candidates or DMSO treated DA neurons upon SARS-CoV-2 infection. The genes involved in senescence pathway were rescued in riluzole, metformin or imatinib treated DA neurons.

2022-10-01 | GSE156761 | GEO

Identification of Drugs Blocking SARS-CoV-2 Infection using hPSC-derived Lung and Colonic Organoids

Project description:The SARS-CoV-2 has already caused over twelve million COVID-19 cases and half a million deaths worldwide. There is an urgent need to create novel models using human disease-relevant cells to study SARS-CoV-2 biology and to facilitate drug screening. As SARS-CoV-2 primarily infects the respiratory tract, we developed a lung organoid model using human pluripotent stem cells (hPSC-LOs) that could be adapted for drug screening. The hPSC-LOs, particularly alveolar type II-like cells, express the viral entry receptor ACE2, are permissive to SARS-CoV-2 infection, and showed robust induction of chemokines and cytokines upon SARS-CoV-2 infection, similar to what is seen in COVID-19 patients. Nearly 25% of these patients have gastrointestinal manifestations, which are associated with worse COVID-19 outcomes1. We therefore also generated complementary hPSC-derived colonic organoids (hPSC-COs) to explore the response of colonic cells to SARS-CoV-2 infection. We found that multiple colonic cell types, especially enterocytes, express ACE2 and are permissive to SARS-CoV-2 infection. Using hPSC-LOs, we performed a high throughput screen of FDA-approved drugs and identified entry inhibitors of SARS-CoV-2, including imatinib, mycophenolic acid (MPA), and quinacrine dihydrochloride (QNHC). Pre- or post-infection treatment at physiologically relevant levels of these drugs significantly inhibited SARS-CoV-2 infection of both hPSC-LOs and hPSC-COs. Together, these data demonstrate that hPSC-LOs and hPSC-COs infected by SARS-CoV-2 can serve as disease models to study SARS-CoV-2 infection and provide a valuable resource for drug screening to identify candidate COVID-19 therapeutics.

2020-08-11 | GSE155241 | GEO

A Platform to Define Cellular Targets of SARS-COV-2 Infection Using Human Pluripotent Stem Cell-Derived Cells and Organoids

Project description:The SARS-CoV-2 virus has already caused over a million COVID-19 cases and over fifty-thousand deaths globally. There is an urgent need to create novel models to study SARS-CoV-2 virus using human disease-relevant cells and tissues to understand key features of virus biology. We present a platform comprised of nine different cell and organoid derivatives from human pluripotent stem cells (hPSCs) representing all three primary germ layers, including lung progenitors and alveolar type II (AT2) cells, pancreatic endocrine cells, liver organoids, endothelial cells, cardiomyocytes, macrophages, microglia, and both cortical and dopaminergic neurons. We systematically probed which cell types are permissive to SARS-CoV-2 infection. Human pancreatic beta cells and hepatocytes were strikingly permissive to SARS-CoV-2 infection, further validated using adult primary human islets and liver organoids. Both in vitro and in a humanized mouse model, human lung progenitors and AT2 cells express the ACE2 viral receptor and were highly permissive to SARS-CoV-2 infection. Transcriptomic analysis following SARS-CoV-2 infection of hPSC-derived pancreatic and lung organoids revealed upregulation of chemokines but not type I/III interferon signaling, similar to what was seen in primary human COVID-19 pulmonary infection. Therefore, hPSC-derived cells phenocopy human COVID-19 disease and provide a valuable resource to understand SARS-CoV-2 biology and search for novel therapeutics.

2020-06-11 | GSE147903 | GEO

Identification of A Drug Blocking SARS-CoV-2 Infection using Human Pluripotent Stem Cell-derived Colon Organoids

Project description:The current COVID-19 pandemic is caused by the novel coronavirus SARS-coronavirus 2 (SARS-CoV-2). There are currently no therapeutic options for mitigating this disease due to lack of a vaccine and limited knowledge of SARS-CoV-2 virus biology. As a result, there is an urgent need to create new disease models to study SARS-CoV-2 biology and to screen for therapeutics using human disease-relevant tissues. COVID-19 patients often present with respiratory symptoms including cough, dyspnea, and respiratory distress but upwards of 25% of respiratory dysfunction, many COVID-19 patients have digestive system indications, including anorexia, diarrhea, vomiting, and abdominal pain. Moreover, these symptoms are associated with more severe COVID-19 outcomes1. Here, we report using human pluripotent stem cell-derived colonic organoids (hPSC-COs) to explore the permissiveness of different colonic cell types to SARS-CoV-2 infection. Single cell RNA-seq and immunostaining showed that the putative viral entry receptor ACE2 is expressed in multiple types of hESC-derived colon cells, but are highly enriched in hPSC-derivedKRT20+ enterocytes. Distinct cell types in the COs can be infected by a SARS-CoV-2 pseudo-entry virus, which is further validated in vivo using a humanized mouse model. Finally, we adapted hPSC-derived COs to a high throughput platform to screen 1280 FDA-approved drugs. Mycophenolic acid was found to block the entry of SARS-Cov-2 pseudo-entry virus in COs, and confirmed to block infection of SARS-CoV-2 virus. In summary, this study established both in vitro and in vivo organoid models to investigate infection of SARS-CoV-2 disease-relevant human colonic cell types and identified a drug suitable for rapid clinical testing that blocks SARS-CoV-2 infection.

2020-08-11 | GSE147975 | GEO

Identification of Lead Drug Candidates for COVID-19 based on Drug Screening Using Human Pluripotent Stem Cell-Derived Cells/Organoids

Project description:We systematically probed which cell types are permissive to SARS-CoV-2 infection. Transcriptomic analysis following SARS-CoV-2 infection of hPSC-derived lung organoids revealed upregulation of chemokines but not type I/III interferon signaling, similar to what was seen in primary human COVID-19 pulmonary infection.

2021-01-01 | GSE148697 | GEO

Identification of Lead Drug Candidates for COVID-19 based on Drug Screening Using Human Pluripotent Stem Cell-Derived Cells/Organoids

Project description:We systematically probed which cell types are permissive to SARS-CoV-2 infection. Transcriptomic analysis following SARS-CoV-2 infection of hPSC-derived pancreatic and lung organoids revealed upregulation of chemokines but not type I/III interferon signaling, similar to what was seen in primary human COVID-19 pulmonary infection.

2020-06-12 | GSE151803 | GEO

Genome-wide Analyses Revealed the Global Impacts of SARS-CoV-2 Viral Gene Orf9c on Human Cardiomyocytes

Project description:Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 patients accompany with high frequencies of cardiac complications, which prominently contributed to the overall SARS-CoV-2-caused mortality. SARS-CoV-2 genome was reported to encode up to 14 genes. Currently, molecular mechanisms underlying SARS-CoV-2 viral gene-induced cardiac manifestations still remain elusive. Here, we overexpressed Orf9c, a SARS-CoV-2 encoded gene, in human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs). Multiple genome-wide analyses were performed to investigate the global impacts of Orf9c on hPSC-CMs. The mRNA-seq indicated stress-related signaling pathways, including cell death, immune and inflammation responses, activated by Orf9c. High-throughput proteomics and Co-immunoprecipitation mass spectrometry studies revealed the global influence of Orf9c on the proteome of hPSC-CMs and Orf9c-interactive protein network in hPSC-CMs. Orf9c overexpression elevated protein expressions of key factors essential for apoptosis while suppressing protein factors crucial for ATP synthesis. Further experimental validations confirmed that Orf9c overexpression induced prominent cell death, abnormal calcium handling and electrical properties, and significantly reduced cellular ATP level in hPSC-CMs. Finally, administration of two FDA-approved drugs, Ivermectin and Meclizine, were proven by our study to restore ATP level to prominently ameliorate Orf9c-induced cell death and electrical abnormalities of hPSC-CMs. Overall, we comprehensively manifest global responses of host human heart muscle cells to SARS-CoV-2 gene Orf9c, characterized molecular mechanisms underlying Orf9c-induced cardiac abnormalities, and explored potentially therapeutic approaches to ameliorate cardiac dysfunctions in COVID-19 patients.

2022-02-23 | GSE171370 | GEO

Linear epitope-specific IgG responses to SARS-CoV-2 and related human coronaviruses in human COVID-19 convalescent sera

Project description:The on-going COVID-19 pandemic requires a deeper understanding of the long-term antibody responses that persist following SARS-CoV-2 infection. To that end, we determined epitope-specific IgG antibody responses in COVID-19 convalescent sera collected at 5 months post-diagnosis and compared that to sera from naïve individuals. Each serum sample was reacted with a high-density peptide microarray representing the complete proteome of SARS-CoV-2 as 15 mer peptides with 11 amino acid overlap and homologs of spike glycoprotein, nucleoprotein, membrane protein, and envelope small membrane protein from related human coronaviruses. Binding signatures were compared between COVID-19 convalescent patients and naïve individuals using the web service tool EPIphany.

2022-02-05 | E-MTAB-10740 | biostudies-arrayexpress

Multiple Early Factors Anticipate Post-Acute COVID-19 Sequelae

Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.

2022-02-01 | E-MTAB-10129 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data